Data Analysis

labs for University course

lab1 - Basic ML Algorithms from scratch (python + numpy)

Linear Regression (1D)
Logistic Regression (2D)
CART (2D)

lab2 - Classification using sklearn

kNN
SVM
Ensemble Classifiers - Random Forest, AdaBoost, Gradient Boost

lab3 - Unsupervised Learning

k-means
EM algorithm (for GMM model)

lab4 - Intro to ANN (using tensorflow)

Multilayer Perceptron (MLP)
Convolutional neural network (CNN)
Recurrent neural network (RNN)